Relevant bibliographies by topics / Automation in DevOps

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automation in DevOps'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "Automation in DevOps"

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Ramakrishna, Manchana. "The DevOps Automation Imperative: Enhancing Software Lifecycle Efficiency and Collaboration." European Journal of Advances in Engineering and Technology 8, no. 7 (2021): 100–112. https://doi.org/10.5281/zenodo.13789734.

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The rapid pace of technological advancements and the increasing complexity of software systems demand a shift from traditional siloed development practices to a more agile and collaborative approach. DevOps, a cultural and technical movement emphasizing collaboration, automation, and continuous improvement, addresses these challenges. This paper explores end-to-end DevOps automation, highlighting its potential to streamline the entire software delivery lifecycle from code commit to production deployment. By automating key processes and fostering collaboration between development, operations, a
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Boye, Harikiran, and Srinivas Venkata. "Automating DevOps for Continuous Delivery and Operational Excellence." FMDB Transactions on Sustainable Computing Systems 2, no. 1 (2024): 32–42. http://dx.doi.org/10.69888/ftscs.2024.000195.

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Integrating automation into DevOps practices has become crucial for achieving continuous delivery and operational excellence in software development. This research paper explores the methodologies and benefits of automating DevOps processes, focusing on how automation facilitates seamless collaboration, reduces errors, accelerates software delivery, and ensures consistent quality. The study discusses the implementation of automated pipelines, monitoring, and feedback mechanisms that enhance the efficiency of software deployment. Organizations can achieve faster release cycles, improve scalabil
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Pavan, Srikanth SubbaRaju Patchamatla. "Enhancing Software Development Efficiency: A Comprehensive Study on DevOps Practices and Automation." Recent Trends in Information Technology and its Application 8, no. 2 (2025): 1–3. https://doi.org/10.5281/zenodo.14916413.

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<em>In the fast-paced world of software development, efficiency is paramount to success. DevOps practices, combined with automation, have revolutionized the industry by bridging the gap between development and operations. This research paper explores the impact of DevOps methodologies and automation tools in enhancing software development efficiency. It examines key practices, benefits, challenges, and future trends, offering a comprehensive understanding of how organizations can optimize their development pipelines.</em>
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Kumaresan, Durvas Jayaraman, and Rastogi Deependra. "Best Practices for DevOps Integration in Enterprise Software Development." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2025): 3464–76. https://doi.org/10.5281/zenodo.14769328.

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DevOps, a set of practices aimed at automating and integrating the processes of software development (Dev) and IT operations (Ops), has gained significant traction in enterprise software development. By fostering collaboration between development and operations teams, DevOps accelerates the software delivery lifecycle, increases deployment frequency, and enhances the quality of releases. As organizations scale and embrace digital transformation, integrating DevOps practices has become essential to meet the ever-growing demands of fast, reliable, and secure software delivery. However, integrati
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KUMAR, R. SENTHIL. "DevOps in 2025: Trends, Innovations, and the Path Ahead." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40564.

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stract— DevOps, the combination of development and operations, has fundamentally transformed software delivery by fostering collaboration, automation, and continuous integration. As we approach 2025, the DevOps landscape is evolving rapidly, driven by advances in artificial intelligence (AI), machine learning (ML), cloud technologies, and automation tools. This paper explores the current state of DevOps, innovations shaping its future, and emerging trends that are likely to define DevOps practices in the coming years. We highlight the integration of AI/ML into DevOps pipelines, the rise of aut
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Naveen, Vemuri, Thaneeru Naresh, and Manoj Tatikonda Venkata. "AI-Optimized DevOps for Streamlined Cloud CI/CD." AI-Optimized DevOps for Streamlined Cloud CI/CD 9, no. 2 (2024): 7. https://doi.org/10.5281/zenodo.10673085.

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This research pays attention to the merging of Development Operations with Artificial Intelligence (AI). It starts by realizing that AI will be an important factor in many aspects of work and that it will be automating some job functions. Consequently, AI will be presented as a tool that will enhance knowledge acquisition, provide job performance and professional development. The story stresses the opportunity cost attributed to the shift from software licensing to Software as a Service (SaaS) and underscores the benefits gained through early and regular software release by the organizations w
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Pavan, Srikanth SubbaRaju Patchamatla. "Bridging Development and Operations: The Impact of DevOps on Agile and Continuous Delivery." Journal of Advancement in Software Engineering and Testing 8, no. 2 (2025): 1–2. https://doi.org/10.5281/zenodo.14916506.

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<em>The integration of development and operations, known as DevOps, has transformed modern software engineering. By fostering collaboration, automation, and efficiency, DevOps enhances agile methodologies and enables seamless Continuous Delivery (CD). This article explores the impact of DevOps on Agile software development, its role in Continuous Delivery, and the benefits and challenges of implementing DevOps in various organizational settings. Key industry practices and tools supporting this transformation are also discussed.</em>
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Rayaprolu, Ranjith. "AI Enhanced Cloud DevOps and Automation." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 4, no. 1 (2024): 362–81. http://dx.doi.org/10.60087/jaigs.v4i1.265.

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Modern cloud computing and DevOps widely embrace AI technology, which accelerated the constantly changing and developing paradigm and reached new heights of productivity, expansibility, and stability in computer science. Subsequently, cloud-based DevOps and the automation of workloads enable further discovery of promising AI components, its advantages and risks observed, and the prospects for advancing organization’s digital transformation. This paper explores and supports, by reviewing case studies and trends, how AI can complement and extend human capacities, optimize operations, and improve
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Abhiram, Reddy Peddireddy, Mathur Utkarsh, and Chaudhary Rahul. "DevOps and RPA: Transforming Supply Chain Incident Response through Automation." European Journal of Advances in Engineering and Technology 8, no. 1 (2021): 101–6. https://doi.org/10.5281/zenodo.13253365.

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This study delves into the impact of merging DevOps and Robotic Process Automation (RPA) in responding to supply chain incidents. By blending DevOps methodologies, like integration (CI) continuous deployment (CD) and Infrastructure as Code (IaC) with RPA, aspects of supply chain operations are automated and improved. The research showcases how RPA streamlines tasks such as order processing, inventory management and shipment tracking while DevOps ensures regularly updated software systems. This fusion enhances efficiency cuts costs and bolsters incident response by facilitating detection report
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Patil, Shubham. "Boost Software Quality with Devops Practices." International Journal for Research in Applied Science and Engineering Technology 12, no. 6 (2024): 1937–44. http://dx.doi.org/10.22214/ijraset.2024.63398.

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Abstract: DevOps, an extension of agile methods, integrates numerous principles to improve communication between development and operations teams. The fundamental goal of this research is to look at the effects of DevOps adoption on software quality, as well as to explore effective ways for improving quality effectively. An thorough literature investigation was conducted to investigate existing DevOps methods in the sector, resulting in the construction of a conceptual research model with five derived hypotheses. The study objectives were met by evaluating hypotheses with Pearson correlation a
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Dissertations / Theses on the topic "Automation in DevOps"

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Bonda, Dharma Teja, and Vishnuvardhan Reddy Ailuri. "Tools Integration Challenges Faced During DevOps Implementation." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21826.

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Background: Since the conception of DevOps several tools have come into existence that eases its implementation. A variety of these tools are used to implement a standard DevOps pipeline. The process of selection of these tools and the interactions between them is called tool integration. Objectives: This thesis aims to address and solve the various tool integration challenges faced during the DevOps implementation. The primary goal is to identify the tool integration challenges that occur while implementing a standard DevOps pipeline with the help of feedback from experienced DevOps practitio
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Bheri, Sujeet, and SaiKeerthana Vummenthala. "An Introduction to the DevOps Tool Related Challenges." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18344.

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Introduction : DevOps bridges the gap between the development and operations by improving the collaboration while automating the as many as steps from developing the software to releasing the product to the customers. To automate the software development activities, DevOps relies on the tools. There are many challenges associated with the tool implementation such as choosing the suitable tools and integrating tools with existed tools and practices. There must be a clear understanding on what kind of tools are used by the DevOps practitioners and what challenges does each tool create for them.
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Christensen, Olga. "Software Development Environment : the DevOps perspective." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97568.

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DevOps is a collaborative effort based on a set of practices and cultural values developed in order to improve software quality and release cycle while operating at the lowest cost possible. To enable DevOps principles such as automation, collaboration, and knowledge sharing, Continuous Delivery and Deployment, as well as Infrastructure as Code are heavily employed throughout the whole process of software development. One of the main building blocks of this process is a development environment where the application code is being developed and tested before it is released into production. This
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BRAGA, Filipe Antônio Motta. "Um panorama sobre o uso de práticas DevOps nas indústrias de software." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/15989.

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Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-03-16T12:48:08Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Filipe_Versao_Final_Pos_Defesa_Deposito.pdf: 1855793 bytes, checksum: 366a64a51c618d78933bc62349a182cc (MD5)<br>Made available in DSpace on 2016-03-16T12:48:08Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Filipe_Versao_Final_Pos_Defesa_Deposito.pdf: 1855793 bytes, checksum: 366a64a51c618d78933bc62349a182cc (MD5) Previous issue date: 2015-08-21<
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Anderson, Andrew John. "Examination of Adoption Theory on the DevOps Practice of Continuous Delivery." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7457.

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Many organizations have difficulty adopting advanced software development practices. Some software development project managers in large organizations are not aligned with the relationship between performance expectancy, effort expectancy, social influence, and facilitating conditions, as moderated by experience, with intent to adopt the DevOps practice of continuous delivery. The purpose of this study was to examine the statistical relationships between the independent variables—performance expectancy, effort expectancy, social influence, and facilitating conditions, as moderated by experie
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Baktha, Kishore. "Evaluating the Performance and Capabilities of Popular Android Mobile Application Testing Automation Frameworks in Agile/ DevOps Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281984.

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The number of mobile applications has increased tremendously over the last decade, thereby also having increased the importance of mobile application testing. Testing is a very crucial process in the development of a mobile application to ensure reliability and proper functionality. In an Agile/DevOps environment, test automation is an integral part in order to support the continuous integration and continuous delivery/deployment principle. There is a plethora of mobile application testing automation frameworks available in the market today. Android testing frameworks were chosen for this stud
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Basher, Mohamed. "DevOps: An explorative case study on the challenges and opportunities in implementing Infrastructure as code." Thesis, Umeå universitet, Institutionen för informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161048.

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Over the last few years, DevOps has gained much attention in the IT development field. It is a new way of thinking of how developers and operators work, which aim to integrate the development, testing, and operation work efficiently. DevOps breaks down communication silos, improve collaboration and productivity by automating infrastructure deployment, workflows, continuously improving the integration and delivery process, and measuring the application performance indicators. Automation is crucial in DevOps, and a key aspect of automation is “Infrastructure as code (IaC)”. IaC allows companies
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Oachesu, Alex, and Nemanja Negovanovic. "The core problems of globally distributed work in software development environments, and possible solutions : DevOps environments' opportunities for better adoption of a globally distributed working culture." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21956.

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Both distributed work and DevOps are on an upward trend. There is a slight resemblance between the problems that DevOps is trying to find answers to, the solutions, and the common problems that geographically distributed work faces. Mainly, they are related to isolated environments that have difficulties in mutual understanding and communication, collaboration. All this leads to inefficiencies and costs that affect the overall efficiency of companies. This report identifies how DevOps engineering principles and implementations provide solutions to common problems in globally distributed work e
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Baldassarri, Marco. "Sviluppo di un progetto di UI automation testing con approccio BDD e gestione delle CI/CD pipelines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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L’azienda multinazionale Travelport Digital Ltd è una software house americana focalizzata sulle travel agencies che ha come obiettivo principale quello di semplificare la complessa industria dei trasporti e del turismo, fornendo servizi dedicati ai viaggiatori e ad organizzazioni terze. Il tirocinio di sei mesi presso la filiale di Dublino è stato speso lavorando in un Agile team e rivestendo il ruolo di Quality Assurance Engineer della componente Web frontend di un applicativo che aiuta le aziende a trovare le migliori opzioni di viaggio facendo scraping di voli, hotel, treni ed auto a no
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Gawell, Anders, and Anton Kallin. "Teaching software testing in a modern development environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261162.

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All developers understand the benefits of testing their code to ensure its functionality. Today’s market is moving further towards design principles where testing is a central or driving force during development. This puts a certain pressure on academia to supply these skills to their students.Recently the course II1302 Projects and project methods at the Royal Institute of Technology in Kista made a concerted effort to introduce the students of the course to these modern concepts. This thesis investigates how areas of testing can effectively be introduced to the students in the course, utiliz
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Books on the topic "Automation in DevOps"

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Cortez, Edwin M. Proposals and contracts for library automation: Guidelines for preparing RFPs. Pacific Information, 1987.

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Garofalo, Giuseppe, ed. Capitalismo distrettuale, localismi d'impresa, globalizzazione. Firenze University Press, 2008. http://dx.doi.org/10.36253/978-88-8453-605-1.

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From the late Sixties on, industrial development in Italy evolved through the spread of small and medium sized firms, aggregated in district networks, with an elevated propensity to enterprise and the marked presence of owner-families. Installed within the local systems, the industrial districts tended to simulate large-scale industry exploiting lower costs generated by factors that were not only economic. The districts are characterised in terms of territorial location (above all the thriving areas of the North-east and Centre) and sector, since they are concentrated in the "4 As" (clothing-f
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Devops Automation Cookbook. Packt Publishing, Limited, 2015.

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DevOps Automation Cookbook. Packt Publishing, Limited, 2015.

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Gift, Noah, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu. Python for DevOps: Learn Ruthlessly Effective Automation. O'Reilly Media, 2019.

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Aiello, Bob. Hands-On DevOps for Architects: Implementing Continuous Delivery Through Automation. Packt Publishing, Limited, 2021.

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Chou, Eric. Mastering Python Networking: Your one stop solution to using Python for network automation, DevOps, and SDN. Packt Publishing, 2017.

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Martynov, Max, and Kirill Evstigneev. Continuous Delivery Blueprint: Software change management for enterprises in the era of cloud, microservices, DevOps, and automation. Grid Dynamics, 2019.

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Martynov, Max, and Kirill Evstigneev. Continuous Delivery Blueprint: Software change management for enterprises in the era of cloud, microservices, DevOps, and automation. Grid Dynamics, 2018.

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Michael, Kennedy, Eric Chou, and Mandy Whaley. Mastering Python Networking: Your one-stop solution to using Python for network automation, programmability, and DevOps, 3rd Edition. Packt Publishing, 2020.

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Book chapters on the topic "Automation in DevOps"

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Zadka, Moshe. "OS Automation." In DevOps in Python. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4433-3_4.

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Jackson, Simon. "Setting Up Azure DevOps." In Accelerating Unity Through Automation. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9508-3_10.

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Farooqui, Shamayel M. "Automation: Baby Steps Towards IT Transformation." In Enterprise DevOps Framework. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3612-3_2.

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Cuppett, Michael S. "Automation and Code Control." In DevOps, DBAs, and DBaaS. Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2208-9_8.

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Selvaraj, Sivaraj. "Advanced DevOps and Infrastructure Automation." In Building Real-Time Marvels with Laravel. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9789-6_24.

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Chatterjee, Rithik. "Security in DevOps and Automation." In Red Hat and IT Security. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6434-8_3.

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K K, Ambily. "Build Automation and Release Management." In Azure DevOps for Web Developers. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6412-6_6.

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Schaefer, Andreas, Marc Reichenbach, and Dietmar Fey. "Continuous Integration and Automation for Devops." In Lecture Notes in Electrical Engineering. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4786-9_28.

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Albuquerque, Adriano Bessa, and Vinicius Lima Cruz. "Implementing DevOps in Legacy Systems." In Intelligent Systems in Cybernetics and Automation Control Theory. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00184-1_14.

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Azad, Nasreen. "DevOps Challenges and Risk Mitigation Strategies by DevOps Professionals Teams." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53227-6_26.

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AbstractDevOps is a team culture and organizational practice that eliminates inefficiencies and bottlenecks in the DevOps infrastructure. While many companies are adopting DevOps practices, it can still be risky. We conducted 26 interviews with DevOps professionals around the globe and found four major risks associated with DevOps practices: Organizational risks (Intra-organizational collaboration and communication, strategic planning), Social and cultural risks (Team Dynamics, Cultural shift), Technical risks (Integration, Build and test automation), Ethics and security breaches in DevOps environment (Ethical risks, Data collection ethics, Ethical decision making). Our research also identified several risk mitigation strategies namely continuous testing, using infrastructure as code, security audit and monitoring, disaster recovery planning, cross-functional training, proper documentation, continuous learning, continuous improvement etc. that companies can adopt for better performance and efficiency.
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Conference papers on the topic "Automation in DevOps"

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Saxena, Adarsh, Sudhakar Singh, Shiv Prakash, Tiansheng Yang, and Rajkumar Singh Rathore. "DevOps Automation Pipeline Deployment with IaC (Infrastructure as Code)." In 2024 IEEE Silchar Subsection Conference (SILCON). IEEE, 2024. https://doi.org/10.1109/silcon63976.2024.10910699.

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Garg, Avni, Tribhuvan Singh, Avni Garg, Asha Rajiv, Dhamodaran S, and Girija Shankar Sahoo. "Optimizing Cost Efficiency in Cloud-Based Automation with DevOps Techniques." In 2025 International Conference on Automation and Computation (AUTOCOM). IEEE, 2025. https://doi.org/10.1109/autocom64127.2025.10956958.

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Amiri, Amirali, Gernot Steindl, and Wolfgang Kastner. "Model-Based Systems Engineering for the Agile Life-Cycle Management of IIoT Based on DevOps." In 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2024. http://dx.doi.org/10.1109/etfa61755.2024.10711004.

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Raudenbush, Katherine, Nikola Malinov, Jayanth V. Reddy, Chaoying Ding, Huayu Tian, and Marianthi Ierapetritou. "Towards the Development of Digital Twin for Pharmaceutical Manufacturing." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.135296.

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Pharma 4.0 has continued to advance as the industry develops advances in process analytical technologies, automation, and digit-ization. Digital twins which transform on-line process measure-ments into meaningful outputs in real-time are being developed to seize the opportunity made possible with this shift. Digital twins can be used for improved process optimization on a range of scales, from determining optimal metabolite concentrations in upstream bioreactors to considering economic and environmental impacts of process decisions. In this paper, we explore the current uses of digital twins i
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Rupert, Angus, Braden McGrath, Joe McKay, Sergey Drakunov, and John Ramiccio. "A Simple Short-Term Solution to Helicopter Spatial Disorientation During Operations in Degraded Visual Environments." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9485.

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For the past 10 years, the number one operational helicopter problem reported by the military operating in desert environments is the inability to maintain control of the aircraft in degraded visual environments (DVE). A DVE mishap is a special subset of the Spatial Disorientation (SD) mishap. SD is defined as the inability of the pilot to correctly perceive the position, motion or attitude of the aircraft relative to the earth or other significant objects. The U.S. military establishment has been developing a three-pronged approach to reduce the problem of operating helicopters in DVE includi
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Mathews, Jon, Ahmed Tamrawi, Sergio Ferrero, and Jeremias Sauceda. "Modern Simulink DevOps Integration." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8077.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Model-based developers are turning to DevOps principles and toolchains to increase engineering efficiency, improve model quality and to facilitate collaboration between large teams. Mature DevOps processes achieve these through automation. This paper demonstrates how integrating modern version control (Git) with collaborative development practices and automated quality enforcement can streamline workflows for large teams using Simulink. The focus is on enhancing model consistency, enabling team collaboration, and develop
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Wettinger, Johannes, Uwe Breitenbucher, and Frank Leymann. "Standards-Based DevOps Automation and Integration Using TOSCA." In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC). IEEE, 2014. http://dx.doi.org/10.1109/ucc.2014.14.

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Wang, Yuqing, Maaret Pyhajarvi, and Mika V. Mantyla. "Test Automation Process Improvement in a DevOps Team: Experience Report." In 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). IEEE, 2020. http://dx.doi.org/10.1109/icstw50294.2020.00057.

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Pietrantuono, Roberto, Antonia Bertolino, Guglielmo De Angelis, Breno Miranda, and Stefano Russo. "Towards Continuous Software Reliability Testing in DevOps." In 2019 IEEE/ACM 14th International Workshop on Automation of Software Test (AST). IEEE, 2019. http://dx.doi.org/10.1109/ast.2019.00009.

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Xuan, Jiaxing, Tingting Duan, Qinglei Guo, et al. "Microservice Publishing Technology Based on DevOps Architecture." In 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). IEEE, 2021. http://dx.doi.org/10.1109/itnec52019.2021.9586904.

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Reports on the topic "Automation in DevOps"

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Hogarth, Terence. Automation Artificial Intelligence On-demand Labour and Other Flexible Forms of Labour in the New IDB Employer Survey Skills at Work in LAC. Inter-American Development Bank, 2017. http://dx.doi.org/10.18235/0009371.

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Whilst there is an interest in recent surveys in understanding the impact of disruptive technologies on employment and the way in which skills might be a constraint on their take-up, this tends to be at an aggregate level with little consideration given to the types of job that may be affected or the specific skill needs that may arise. This report develops a set of suite of questions about: (i) how specific disruptive technologies may affect the demand of skills, occupations and employees; and, (ii) how the on-demand labour, crowd sourcing and other flexible forms of labour is undertaken. The
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Cesa-Bianchi, Ambrogio, and Alessandro Rebucci. Does Easing Monetary Policy Increase Financial Instability? Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0011445.

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This paper develops a model featuring both a macroeconomic and a financial stability objective that speaks to the interaction between monetary and macroprudential policies. First, we find that interest rate rigidities in a monopolistic banking system have an asymmetric impact on financial stability: they lead to greater financial instability in response to contractionary shocks, while they act as an automatic financial stabilizer in response to expansionary shocks. Second, we find that when the policy interest rate is the only instrument, a monetary authority subject to the same constraints as
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Niebler, Rebecca. Abfallwirtschaftliche Geschäftsmodelle für Textilien in der Circular Economy. Sonderforschungsgruppe Institutionenanalyse, 2020. http://dx.doi.org/10.46850/sofia.9783941627833.

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This master thesis explores the challenges for waste management business models in the field of textiles regarding the requirements of the circular economy, as well as improvement potentials in the current framework conditions. It is concerned with the research question: "Is it advisable to change the frame-work conditions at meso or macro level, with regard to business models for waste management companies in the textile sector that are oriented towards the requirements of the circular economy, and - if so - in what way?” The approach of the study is based on the delta analysis of the e Socie
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